import org.apache.http.HttpStatus;
import org.apache.http.StatusLine;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClientBuilder;
import javax.imageio.ImageIO;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.FileOutputStream;
import java.io.InputStream;
import java.net.URL;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* temp
* train
* result
*/
public class BaoJianHui {
private static Map<BufferedImage, String> trainMap = null;
private static int index = 0;
public static final String dirPath = "D:\Proli\pic\One\";
public static boolean isBlack(int colorInt) {
Color color = new Color(colorInt);
return color.getRed() + color.getGreen() + color.getBlue() <= 100;
}
public static boolean isWhite(int colorInt) {
Color color = new Color(colorInt);
return color.getRed() + color.getGreen() + color.getBlue() > 100;
}
private static boolean isRemove(int rgb) {
Color color = new Color(rgb);
return color.getRed() == 244 ||
color.getRed() == 255 ||
color.getRed() == 241 ||
color.getRed() == 251 ||
color.getRed() == 247 ||
color.getRed() == 253;
}
/**
* 获得二值化图像
* 最大类间方差法
*
* @param gray
* @param width
* @param height
*/
private static int getOstu(int[][] gray, int width, int height) {
int grayLevel = 256;
int[] pixelNum = new int[grayLevel];
//计算所有色阶的直方图
for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
int color = gray[x][y];
pixelNum[color]++;
}
}
double sum = 0;
int total = 0;
for (int i = 0; i < grayLevel; i++) {
sum += i * pixelNum[i]; //x*f(x)质量矩，也就是每个灰度的值乘以其点数（归一化后为概率），sum为其总和
total += pixelNum[i]; //n为图象总的点数，归一化后就是累积概率
}
double sumB = 0;//前景色质量矩总和
int threshold = 0;
double wF = 0;//前景色权重
double wB = 0;//背景色权重
double maxFreq = -1.0;//最大类间方差
for (int i = 0; i < grayLevel; i++) {
wB += pixelNum[i]; //wB为在当前阈值背景图象的点数
if (wB == 0) { //没有分出前景后景
continue;
}
wF = total - wB; //wB为在当前阈值前景图象的点数
if (wF == 0) {//全是前景图像，则可以直接break
break;
}
sumB += (double) (i * pixelNum[i]);
double meanB = sumB / wB;
double meanF = (sum - sumB) / wF;
//freq为类间方差
double freq = (double) (wF) * (double) (wB) * (meanB - meanF) * (meanB - meanF);
if (freq > maxFreq) {
maxFreq = freq;
threshold = i;
}
}
return threshold;
}
/**
* 图片预处理 灰度化、二值化、去噪
* @param picFile
* @return
* @throws Exception
*/
public static BufferedImage removeBackgroud(String picFile) throws Exception {
BufferedImage img = ImageIO.read(new File(picFile));
int width = img.getWidth();
int height = img.getHeight();
double Wr = 0.299;
double Wg = 0.587;
double Wb = 0.114;
int[][] gray = new int[width][height];
//灰度化
for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
Color color = new Color(img.getRGB(x, y));
int rgb = (int) ((color.getRed() * Wr + color.getGreen() * Wg + color.getBlue() * Wb) / 3);
gray[x][y] = rgb;
}
}
int threshold = getOstu(gray, width, height);
for (int x = 0; x < width; ++x) {
for (int y = 0; y < height; ++y) {
if (gray[x][y] > threshold) {
img.setRGB(x, y, Color.white.getRGB());
} else {
img.setRGB(x, y, Color.black.getRGB());
}
}
}
//去噪
for (int x = 0; x < width; ++x) {
for (int y = 0; y < height; ++y) {
if (isBlack(img.getRGB(x, y))) {
if (isAlone(img, x, y,width,height)) {
img.setRGB(x, y, Color.WHITE.getRGB());
}
}
}
}
return img;
}
public static BufferedImage removeBackgroud(BufferedImage img) throws Exception {
int width = img.getWidth();
int height = img.getHeight();
double Wr = 0.299;
double Wg = 0.587;
double Wb = 0.114;
int[][] gray = new int[width][height];
//灰度化
for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
Color color = new Color(img.getRGB(x, y));
int rgb = (int) ((color.getRed() * Wr + color.getGreen() * Wg + color.getBlue() * Wb) / 3);
gray[x][y] = rgb;
}
}
int ostu = getOstu(gray, width, height);
for (int x = 0; x < width; ++x) {
for (int y = 0; y < height; ++y) {
if (gray[x][y] > ostu) {
img.setRGB(x, y, new Color(0xFFFFFF).getRGB());
} else {
img.setRGB(x, y, new Color(0x000000).getRGB());
}
}
}
//去噪
for (int x = 0; x < width; ++x) {
for (int y = 0; y < height; ++y) {
if (isBlack(img.getRGB(x, y))) {
if (isAlone(img, x, y,width,height)) {
img.setRGB(x, y, Color.WHITE.getRGB());
}
}
}
}
return img;
}
/**
* 是否单个噪点
* @param img
* @param x
* @param y
* @param width
* @param height
* @return
*/
private static boolean isAlone(BufferedImage img, int x, int y,int width,int height) {
if (x == 0 || width - x < 3 || y == 0 || height - y < 3) {
return true;
}
try {
// int a1 = img.getRGB(x - 1, y + 1);
int a2 = img.getRGB(x - 1, y);
// int a3 = img.getRGB(x - 1, y - 1);
int a4 = img.getRGB(x, y + 1);
int a5 = img.getRGB(x, y - 1);
// int a6 = img.getRGB(x + 1, y + 1);
int a7 = img.getRGB(x + 1, y);
// int a8 = img.getRGB(x + 1, y - 1);
// boolean b1 = isBlack(a1);
boolean b2 = isBlack(a2);
// boolean b3 = isBlack(a3);
boolean b4 = isBlack(a4);
boolean b5 = isBlack(a5);
// boolean b6 = isBlack(a6);
boolean b7 = isBlack(a7);
// boolean b8 = isBlack(a8);
ArrayList<Boolean> booleans = new ArrayList<Boolean>();
// booleans.add(isBlack(a1));
booleans.add(isBlack(a2));
// booleans.add(isBlack(a3));
booleans.add(isBlack(a4));
booleans.add(isBlack(a5));
// booleans.add(isBlack(a6));
booleans.add(isBlack(a7));
// booleans.add(isBlack(a8));
long count = booleans.stream().filter((a) -> a).count();
if (count < 1) {
return true;
}
} catch (Exception e) {
return false;
}
return false;
}
public static BufferedImage removeBlank(BufferedImage img) throws Exception {
int width = img.getWidth();
int height = img.getHeight();
int start = 0;
int end = 0;
Label1:
for (int y = 0; y < height; ++y) {
for (int x = 0; x < width; ++x) {
if (isBlack(img.getRGB(x, y))) {
start = y;
break Label1;
}
}
}
Label2:
for (int y = height - 1; y >= 0; --y) {
for (int x = 0; x < width; ++x) {
if (isBlack(img.getRGB(x, y))) {
end = y;
break Label2;
}
}
}
return img.getSubimage(0, start, width, end - start + 1);
}
public static List<BufferedImage> splitImage(BufferedImage img) throws Exception {
List<BufferedImage> subImgs = new ArrayList<>();
int width = img.getWidth();
int height = img.getHeight();
List<Integer> weightlist = new ArrayList<>();
for (int x = 0; x < width; ++x) {
int count = 0;
for (int y = 0; y < height; ++y) {
if (isBlack(img.getRGB(x, y))) {
count++;
}
}
weightlist.add(count);
}
for (int i = 0; i < weightlist.size(); i++) {
int length = 0;
while (i < weightlist.size() && weightlist.get(i) > 0) {
i++;
length++;
}
if (length > 2) {
subImgs.add(removeBlank(img.getSubimage(i - length, 0, length, height)));
}
}
return subImgs;
}
public static Map<BufferedImage, String> loadTrainData() throws Exception {
if (trainMap == null) {
Map<BufferedImage, String> map = new HashMap<>();
File dir = new File(dirPath + "train");
File[] files = dir.listFiles();
for (File file : files) {
map.put(ImageIO.read(file), file.getName().charAt(0) + "");
}
trainMap = map;
}
return trainMap;
}
public static String getSingleCharOcr(BufferedImage img,
Map<BufferedImage, String> map) {
String result = "#";
int width = img.getWidth();
int height = img.getHeight();
int min = width * height;
for (BufferedImage bi : map.keySet()) {
int count = 0;
if (Math.abs(bi.getWidth() - width) > 2)
continue;
int widthmin = width < bi.getWidth() ? width : bi.getWidth();
int heightmin = height < bi.getHeight() ? height : bi.getHeight();
Label1:
for (int x = 0; x < widthmin; ++x) {
for (int y = 0; y < heightmin; ++y) {
if (isBlack(img.getRGB(x, y)) != isBlack(bi.getRGB(x, y))) {
count++;
if (count >= min) {
break Label1;
}
}
}
}
if (count < min) {
min = count;
result = map.get(bi);
}
}
return result;
}
public static String getTextByImageFileUrl(String file) throws Exception {
BufferedImage img = removeBackgroud(file);
List<BufferedImage> listImg = splitImage(img);
Map<BufferedImage, String> map = loadTrainData();
StringBuilder result = new StringBuilder();
for (BufferedImage bi : listImg) {
result.append(getSingleCharOcr(bi, map));
}
ImageIO.write(img, "JPG", new File(dirPath + "result/" + result + ".jpg"));
return result.toString();
}
public static String getTextByImageUrl(String url) throws Exception {
BufferedImage read = ImageIO.read(new URL(url));
BufferedImage img = removeBackgroud(read);
List<BufferedImage> listImg = splitImage(img);
Map<BufferedImage, String> map = loadTrainData();
StringBuilder result = new StringBuilder();
for (BufferedImage bi : listImg) {
result.append(getSingleCharOcr(bi, map));
}
ImageIO.write(img, "JPG", new File(dirPath + "result/" + result + ".jpg"));
return result.toString();
}
public static void downloadImage() {
CloseableHttpClient httpClient = HttpClientBuilder.create().build();
HttpGet httpGet = new HttpGet("http://iir.circ.gov.cn/web/servlet/ValidateCode");
httpGet.addHeader("Host", "game.tom.com");
httpGet.addHeader("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.3202.94 Safari/537.36");
for (int i = 0; i < 30; i++) {
try {
CloseableHttpResponse execute = httpClient.execute(httpGet);
StatusLine statusLine = execute.getStatusLine();
int statusCode = statusLine.getStatusCode();
if (statusCode != HttpStatus.SC_OK) {
System.err.println("Method failed: " + statusLine);
}
InputStream inputStream = execute.getEntity().getContent();
FileOutputStream outputStream = new FileOutputStream(new File(dirPath + "temp/" + i + ".jpg"));
byte[] buff = new byte[1024];
int len = 0;
while((len = inputStream.read(buff, 0, 1024)) != -1){
outputStream.write(buff, 0, len);
}
inputStream.close();
outputStream.close();
// 读取内容
System.out.println(i + "OK!");
} catch (Exception e) {
e.printStackTrace();
} finally {
// 释放连接
httpGet.releaseConnection();
}
}
}
/**
* 训练数据
* @throws Exception
*/
public static void trainData() throws Exception {
File dir = new File(dirPath + "temp");
File[] files = dir.listFiles();
for (File file : files) {
//图片预处理 二值化、去噪
BufferedImage img = removeBackgroud(dirPath + "temp/" + file.getName());
//图片分割
List<BufferedImage> listImg = splitImage(img);
if (listImg.size() == 4) {
for (int j = 0; j < listImg.size(); ++j) {
ImageIO.write(listImg.get(j), "JPG", new File(dirPath + "train/" + file.getName().charAt(j) + "-" + (index++) + ".jpg"));
}
}
}
}
/**
* @param args
* @throws Exception
*/
public static void main(String[] args) throws Exception {
// downloadImage();//下载图片-保监会
// trainData();//训练图片
// String text = getTextByImageUrl("http://iir.circ.gov.cn/web/servlet/ValidateCode?time=123");//保监会
// String text = getTextByImageUrl("");//验证码地址
String text = getTextByImageFileUrl(dirPath + "temp/XbF9.jpg");
System.out.println(text);
}
}